HANDWRITTEN CHARACTER ECOGNITION

Abstract: The project “Handwritten character recognition system “This application is developed using python as the front-end and my sql as the back-end. Currently, Handwritten character Recognition is a pivotal concern in computer vision. Machine Learning technology makes a machine efficient to perform pattern or text recognition. Handwriting patterns differ according to the speaker it is normally quite difficult to recognize. Main aim of the proposed system is develop automatically recognizing and detecting handwritten character Recognition using Decision tree Machine Learning models. Our proposed system initially began with camera user can able to write character in paper. After that user can able to show the writer character in front of the camera. Camera will the image after capture the image passes to CNN will completely extract information from the capture image. Finally capture information maintain in test data database. Finally proposed system applies Rule-based classifiers which make the class decision depending by using various rules. Finally classification output will show user captures test data whether character or Not.